Agentic Analytics Reviews and Ratings
What is Agentic Analytics?
Gartner defines agentic analytics as software used for the process of data analysis that applies AI agents across the data-to-insight workflow, orchestrating tasks semi-autonomously or autonomously toward stated goals that support, augment or automate insights. Agentic analytics’ must-have capabilities are data source connectivity, data preparation, agent workflow orchestration, automated insights and natural language query. Optional capabilities include data storytelling, a coding assistant, function calling, agent memory, embedded analytics and platform administration. Agentic analytics is the evolution of augmented analytics through the application of AI agents to data analysis.
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Amazon QuickSight allows everyone in your organization to understand your data by asking questions in natural language, exploring through interactive dashboards, or automatically looking for patterns and outliers powered by machine learning. Amazon QuickSight allows you to ask conversational questions of your data and use Q’s ML-powered engine to receive relevant visualizations, perform accurate forecasting and what-if analysis, and embed interactive visualizations and dashboards, sophisticated dashboard authoring, or natural language query capabilities in your applications to differentiate user experience and unlock new monetization opportunities.
Zoho Analytics is a software designed to support business intelligence and data analytics needs by enabling users to visually analyze data, generate insightful reports, and create interactive dashboards. The software provides capabilities for integrating data from multiple sources, such as files, feeds, cloud storage, databases, and business applications, allowing organizations to consolidate and explore data efficiently. Zoho Analytics offers tools for data modeling, data blending, and automated data preparation, along with options for collaborative analysis and sharing. The software addresses the business problem of transforming raw data into actionable insights, facilitating data-driven decision-making across departments.
Aible is an artificial intelligence software designed to enable organizations to build and deploy predictive models that align with business objectives. The software provides tools for data preparation, automated machine learning model creation, and scenario analysis without requiring extensive coding or data science expertise. Aible facilitates integration with existing workflows and enterprise systems, allowing users to generate actionable insights directly within business processes. The software emphasizes rapid deployment and iteration, supporting collaboration among business stakeholders to refine machine learning outcomes. Aible addresses the challenge of translating machine learning predictions into measurable business impact by allowing users to adjust parameters and constraints based on changing priorities or evolving operational conditions.
Artificio is a software that focuses on automating content creation and management through artificial intelligence. The software provides tools for generating written content, images, and other multimedia assets, aiming to streamline the production process for businesses that require marketing, editorial, or design materials. Artificio addresses the challenge of manual content generation by utilizing machine learning algorithms to create and refine assets efficiently, reducing time and resource expenditure for organizations. The software offers features such as natural language processing, scalable content output, and integration capabilities with other platforms, allowing users to adapt generated materials according to specific project requirements.
Quantiphi offers a search and generative AI agent that allows enterprises to manage their GenAI stack. This agent facilitates enterprise search, knowledge synthesis, and the automation of downstream tasks. baioniq provides generative AI capabilities that can automate workflows, enhance knowledge worker productivity, streamline data management, and impact core business operations. baioniq can be deployed securely within your VPC, behind your firewall. Key features include - Integration: Connects with over 35 enterprise systems such as Google Drive and SharePoint, Contextual Insights: Provides relevant answers based on your organization's knowledge base, Data Privacy & Security: Preserves data privacy and security, Custom Skills: Enables the development of tailored workflows for specific business requirements, Intelligent Agents: Automates complex, multi-step processes, No-code interface: Allows for the creation and sharing of automation workflows across teams.
Data Virtualization in Bliv Dashboard enables users to access, combine, and analyze data from multiple, disparate sources in real time without physically moving or replicating it. This capability creates a unified, virtual data layer that simplifies analytics by delivering a single view of information across databases, data warehouses, APIs, and cloud services. With built-in query optimization, security controls, and governance, Data Virtualization in Bliv Dashboard allows organizations to reduce data latency, minimize storage costs, and accelerate insight delivery — all while ensuring data remains in its original location and under full control.
BlueOcean Track is a software designed to assist organizations with brand tracking and competitive analysis by leveraging artificial intelligence. The software provides tools that collect and analyze brand data from various sources, enabling businesses to monitor brand performance in real time. It offers features such as customizable dashboards, automated insights, and reporting on metrics including brand perception, share of voice, and market trends. BlueOcean Track supports decision making by identifying risks and opportunities related to brand strategy. The software addresses challenges related to manual data collection and limited visibility into brand positioning, allowing organizations to make informed decisions based on up-to-date analytics.
DevRev is a software designed to facilitate collaboration between development and product teams by providing a unified platform that integrates product management, customer support, issue tracking, and workflow automation. The software enables users to capture product feedback, manage bug reports, prioritize feature requests, track development progress, and align support operations with engineering efforts. By centralizing information and processes, DevRev helps organizations streamline communication, resolve customer issues efficiently, and improve product development cycles. The software addresses business challenges related to fragmented workflows and lack of visibility across teams, supporting companies in coordinating activities from user feedback to code deployment.
FinBlade AI is a sovereign enterprise platform that unifies intelligence, automation, and security on your terms.
Our mission is to empower organizations to design and deploy AI solutions that align perfectly with their operational goals. By integrating hardware, software, and services into a single delivery framework, FinBlade establishes a foundation for secure, scalable, and enterprise-grade innovation.
Built for data-driven institutions, FinBlade delivers advanced semantic search, workflow orchestration, database analysis, visualization, document generation, and automation with intuitive no-code customization. Powered by GenAI, Agentic AI and Computer Vision, it can be deployed on-premise or in sovereign clouds, ensuring full data control, privacy, and compliance.
FinBlade integrates seamlessly with ERP, analytics, and cybersecurity systems, transforming operations into intelligent, self-learning processes for governments and global enterprises.
Improvado is a software designed for marketing data aggregation and analytics. The software connects with various marketing platforms to centralize disparate data sources, enabling automated extraction, transformation, and loading of marketing data into reporting and visualization tools. Improvado supports integration with numerous advertising, social media, analytics, and CRM platforms. The software offers data normalization and mapping features to help standardize information for comprehensive analysis. It assists businesses in reducing manual data collection processes, improving data accuracy, and supporting the creation of customized dashboards and reports. Improvado aims to streamline data workflows for marketing and analytics teams by providing unified access to marketing performance metrics in one platform.
Joule is a software developed by SAP that serves as a generative AI copilot integrated within SAP applications and business processes. The software is designed to facilitate users in generating insights, recommendations, and process automation by leveraging conversational and contextual AI. Joule enables interaction with enterprise data, supporting tasks such as report creation, workflow optimization, and information retrieval. By integrating with existing SAP solutions, the software addresses business challenges related to decision-making efficiency, data accessibility, and operational productivity across various departments. Joule aims to streamline enterprise workflows through natural language interfaces, reducing manual effort and supporting data-driven business outcomes.
Solink Cloud VMS is an AI-powered video management platform that transforms everyday security footage into actionable business intelligence. Designed for multi-site organizations, it unifies video, data, and analytics across the cloud—providing real-time visibility, automated insights, and scalable protection. Solink’s hybrid cloud architecture combines the reliability of on-premise recording with the flexibility of secure cloud access and long-term storage, ensuring uninterrupted coverage and simplified IT management. Native AI capabilities such as Video Search, Sidekick, and Vision Analytics help users detect risks, verify incidents, and optimize operations across locations. Built to integrate with existing cameras and 375+ data sources, Solink eliminates hardware lock-in and empowers businesses to reduce loss, improve safety, and enhance decision-making with a single, intelligent platform.
Tableau is a software that enables users to visualize and analyze data from various sources through interactive dashboards and reports. The software provides tools for data preparation, data blending, and real-time analysis, supporting a range of data connectors for integration with databases, cloud services, and spreadsheets. Tableau facilitates the exploration of trends and patterns across datasets, offering capabilities for filtering, aggregating, and transforming data without requiring advanced technical expertise. It is designed to support decision-making processes by presenting data in a visual format that aids interpretation and insight generation for business intelligence and analytics needs.
Tellius is an analytics software designed to facilitate data analysis and business intelligence through automated insights and search-driven technology. The software enables users to integrate information from various sources and utilize built-in natural language processing to query data and uncover trends, patterns, and actionable answers. It offers visualization tools for custom dashboards, reports, and exploration of metrics, supporting decision-making across different business functions. Tellius also incorporates machine learning capabilities for identifying correlations, performing root cause analysis, and providing recommendations to address business challenges. The software aims to streamline complex data analysis processes, enhance the accessibility of insights, and help organizations resolve operational and strategic issues by leveraging existing data assets.
WisdomAI is an artificial intelligence software designed to assist organizations in accessing, managing, and leveraging internal knowledge and information. The software offers features such as advanced search, knowledge retrieval, document analysis, and question answering capabilities. It uses natural language processing to interpret and respond to user queries by understanding context and extracting relevant data from a variety of sources including documents, files, and messages. WisdomAI aims to address challenges related to information silos and inefficient knowledge sharing by streamlining access to organizational content, supporting faster decision-making, and improving operational productivity through automation and intelligent insights.
Features of Agentic Analytics
Updated February 2025Mandatory Features:
Agent workflow orchestration: The ability for platforms to semi-autonomously or autonomously manage tasks to achieve specified goals. These platforms feature adaptive workflow design, self-configuring process flows based on new data inputs or evolving objectives, real-time decision making regarding task sequencing, and automatic error detection and recovery mechanisms. AI agents can dynamically allocate and optimize resources, continuously learning and improving orchestration strategies.
Natural language query: The ability to enable users to interact with data using natural language, either typed or spoken. Advanced chatbots facilitate conversational Q&A, delivering data-to-insight interactions with full data visualizations. The platforms can group, filter and rank answers, providing comparisons, trend analysis, and geospatial and temporal understanding. They utilize temporal algorithms (e.g., time since/until, longer/slower) and geospatial algorithms (e.g., distance, route), presenting answers as maps. AI-enabled predictions and forecasting come with explanations and customizations, enhancing user engagement and understanding.
Data preparation: The ability to combine data from various sources to create analytics models, including user-defined measures, data pipelines, sets, groups and hierarchies. AI agents can autonomously explore and understand complex data structures, dynamically addressing quality issues and inconsistencies. Additionally, they can comprehend relationships between data attributes, automatically suggesting meaningful joins and integrations while recognizing semantic connections across disparate sources. They infer potential data transformations based on historical patterns and business context, sharing insights and best practices across different data preparation tasks.
Automated insights: The ability to employ machine learning techniques to automatically generate insights for end users, such as identifying key attributes in a dataset. AI agents proactively identify significant patterns, trends and anomalies, generating human-readable narratives that explain data findings. They provide probabilistic confidence scores for each insight and contextualize them within broader business performance frameworks. Responsible insight generation includes audit trails, explicit confidence scoring, uncertainty quantification, statistical significance and potential limitations. The platforms also detect algorithmic bias across multiple dimensions and offer human oversight options.
Data source connectivity: The ability to handle multimodal data input and produce multistructured analytics outputs. Agentic analytics seamlessly integrate a wide range of data types — structured, semistructured and unstructured — from both internal and external sources. This includes diverse formats such as text, audio, images and video, enabling comprehensive analytics.














